Presentation is loading. Please wait.

Presentation is loading. Please wait.

Elements of a Weight of Evidence Determination

Similar presentations


Presentation on theme: "Elements of a Weight of Evidence Determination"— Presentation transcript:

1 Elements of a Weight of Evidence Determination
Donna Kenski Midwest RPO presented at National RPO Meeting, Denver, June 2005

2 Components Start with integrated conceptual model—O3, PM, RH
Source apportionment of STN and IMPROVE Organic speciation and source apportionment – urban and rural Ammonia/nitric acid – which precursors control PM? PM trends Episode analysis Transport and trajectory analysis Ozone weekend/weekday differences, trends, NOx/VOC limitation

3 Source apportionment of IMPROVE and STN data
Work by Eugene Kim and Phil Hopke: PMF, ME, CPF, PSCF

4 Bondville, IL Bondville IMPROVE site Mar. 2001 – May 2003 9 sources
Source profiles Bondville IMPROVE site Mar – May 2003 9 sources

5 Averaged source contributions
Bondville, IL Averaged source contributions

6 Time-series source contributions Backward trajectories
Bondville, IL Time-series source contributions Backward trajectories 4/22/2001 7/1/2002

7 Weekday/weekend variations
Bondville, IL CPF plots Weekday/weekend variations

8 8 carbon fraction profiles
Gasoline emissions include the lower temperature carbon fractions (OC1 - OC4). Diesel emissions contain large amounts of the EC1 Gasoline vehicle emissions Diesel emissions

9 Secondary sulfate aerosol: Bondville
Summer-high: Tennessee, Ohio river valley, Ohio, Louisiana, Alabama Carbon-high: Canadian forest fire, Nebraska, Dakota, Minnesota, Iowa Winter-high: Nebraska, Kansas, Oklahoma, Texas, Tennessee valley, Ohio river valley

10 Inter-site comparison
General summary of the source contributions Secondary sulfate The largest contribution to the PM2.5 Secondary nitrate, Motor vehicle The 2nd largest contribution to the PM2.5

11 Gasoline vehicle emissions
No strong weekday/weekend variation Rural sites show lower conc.

12 LADCO Organic Speciation Projects
1. Seney National Wildlife Refuge Analysis of existing speciation carbon channel filters (monthly composites) for 2002 Collection and analysis of 28 high volume filters for summer 2002 2. Urban organics Collection and analysis of 1/6 day, high volume samples at Indianapolis, Detroit, Cincinnati, Chicago, St. Louis, and Bondville, 2004 calendar year

13 Primary emission tracers

14

15

16 Urban organic speciation sites
Detroit, MI Northbrook, IL Cincinnati, OH Bondville, IL Indianapolis, IN St. Louis, MO

17 Data Overview At six sites (five urban, one rural) during Dec 2003 – Feb 2005, collocated with STN measurements, quartz fiber filters (QFFs) sampled QFFs analyzed for OC/EC Monthly composites of QFFs for speciation done at all sites Indianapolis selected for organic speciation of all 60+ samples during period At Indianapolis and Bondville, 3-hr DRUM data taken during sampling days

18 Seasonal Composition - Indianapolis
Median OMC>SO4 NO3>OMC>SO4 OC graphed as OMC=1.4*OC

19 Weekday-weekend: OC OC has no significant trend
Northbrook – Feb 04 – Jan 05 Cincinnati – Feb 04 – Jan 05

20 Weekday-weekend: EC EC shows clear weekday-weekend trend
Detroit – Feb 04 – Jan 05 Cincinnati – Feb 04 – Jan 05

21 Urban OC Summary A large, generally high-quality data set is being assembled PM2.5 concentrations were sufficiently high and variable during the sampling campaign to be of interest to policy makers While STN, IMPROVE and other data routinely collected are useful, additional OCEC and speciated organics data will greatly help source apportionment efforts

22 Midwest Ammonia Monitoring
Despite importance of ammonia in atmospheric chemistry, no national studies or routine monitoring of ambient (non-source-influenced) concentrations has been done To fill data gap, MRPO and CENRAP began rural monitoring in Oct. 2003 Beginning network--10 sites: 9 rural, 1 urban Current network – 12 sites, 8 rural, 3 urban All rural sites are IMPROVE sites except Pleasant Green, MO Denuder/filterpack sampling Phosphoric acid coated denuder for NH3 Sodium carbonate coated denuder for HNO3 and SO2 Teflon filter followed by nylon filter (for nitrate dissociation) Two sites (Pleasant Green MO, Lake Sugema IA) use automated R&P samplers (different denuder/inlet configurations) 1/6 day sampling Two continuous samplers, Pranalytica and IC, at Bondville for QA Both NH3 and HNO3 very difficult to measure, due to reactivity, ‘stickiness’, low ambient concentrations, significant inlet losses Too soon to compare with IMPROVE – no data for IMPROVE posted yet for this period Goals: Characterize rural ambient NH3 (and related parameters) because very few data exist. Need spatial variability, temporal variability (seasonal, diurnal), and relationship of NH3, HNO3 with other gases and PM species.

23 LADCO-CENRAP NH3 Network
Red=urban sites Blue=rural sites

24 Temporal variation in NH3
Log scale Base F2 NH3 Emissions

25 Spatial variation in NH3

26 Predicted PM2.5 Concentrations
(Blanchard & Tanenbaum) At current NH3, PM is about equally sensitive to reductions in SO4 and NO3 At current SO4 level, PM is slightly more sensitive to NH3 reductions than to HNO3 (at this site; sites further west are more sensitive to HNO3 reductions); 30% reduction in NO3 leads to .75 ug less pm, 30% reduction in NH3 leads to 1 ug less PM PM is about equally sensitive to reductions in SO4 and NO3 PM is slightly more sensitive to NH3 reductions than to HNO3

27 Sample-by-sample evaluation of gas ratio and excess ammonia
Nitric acid limited Nitric acid limited Sample-by-sample evaluation of gas ratio and excess ammonia (Blanchard & Tanenbaum) Nitric acid limited Nitric acid limited

28 Preliminary Conclusions
At current conditions, PM mass decreases in response to reductions in sulfate, nitric acid, and ammonia At current conditions, particulate nitrate formation limited generally by nitric acid At expected future conditions (i.e., lower sulfate), PM mass is more responsive to nitric acid reductions Daily and hourly data support same conclusions

29 Future Applications for NH3 Data
Model evaluation (Kirk Baker dissertation) Inventory validation – daily variability, seasonal variability, diurnal variability Correlations with meteorology, other AQ parameters PM episode analysis – Feb. ’05 event, role of snow as source/sink

30 PM Trends

31 Seasonal Urban Trends

32 Weekday/Weekend Ozone Differences (Blanchard&Tanenbaum)

33 Trajectories, Transport

34 Episode Analysis Based on AIRNOW
From Rudy Husar Time pattern of the 0502 Event The overall event lasted about 10 days, Jan 28-February 7 The Upper Midwest peaked first (Jan 31-Feb 2); Industrial MW later (Feb 3 – 6) The Industrial MW region show more diurnal variation (lowest in the mid-afternoon) 0502 PM Event PM Event

35 24 hr Average PM-2.5 Concentrations in Michigan (1/26/05 thru 2/10/05)
warm air advection cold front approaches From Neal Conatser, Mich. DEQ strong cold front passes weak cold front passes


Download ppt "Elements of a Weight of Evidence Determination"

Similar presentations


Ads by Google